Difference between revisions of "Team:EPFL"

 
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                      <span class="display-4 font-weight-bold">CAPOEIRA</span>
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              <h2 class="h1 text-white mb-3">CAPOEIRA</h2>
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              <p class="lead text-white lh-180">CAncer PersOnalized Encapsulin Immunotherapy and Relapse Assay</p>
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                                    <p class="lead text-white">Cancer Personalized Encapsulin Immunotherapy and Relapse Assay</p>
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                                        <a href="https://2018.igem.org/Team:EPFL/Description" class="btn btn-white btn-circle btn-translate--hover btn-icon mr-sm-4 scroll-me">
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                                            <span class="btn-inner--text">Learn more about our project</span>
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                                      <span class="btn-inner--text">Learn more about our project</span>
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                    <h3 class="heading h3">What is CAPOEIRA ?</h3>
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                        <p class="lead lh-180">While cancer is still the disease of the 21st century, new insights and approaches are changing the landscape of cancer therapy. Cancer immunotherapy is becoming a key technique for the successful fight against cancer. The goal of cancer immunotherapy is to harness the immune system in the fight against cancer. The project that the EPFL 2018 iGEM team is presenting is focused on the development of a new therapeutic approach to target specific types of cancer using immunotherapy methods, with a focus on vaccines. Furthermore, the project aims to integrate the personalized medicine approaches, by using patient-specific neoantigens to trigger the immune system and produce the response against cancer. The project is exhaustive and can be divided into the following parts:</p>
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                                        <h3 class="h5">Detection</h3>
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    <section class="slice slice-xl bg-primary" id="CAP">
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                                        <p>Detection of cancer patient specific tumor mutations and neoantigens</p>
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              <h3 class="heading h3 text-white text-center"><font size="+2">What is CAPOEIRA ?</font></h2>
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              <p class="lead text-white my-4">While Melanoma remains the deadliest form of skin cancer, immunotherapy approaches can harness our immune system to defeat it! Yet, current immuno-treatments suffer from high costs, limited accessibility, and poor specificity. Our project
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                                <div class="timeline-content">
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                “CAPOEIRA”, named after the Brazilian self-defense martial-art, exploits the potential of synthetic biology to develop a personalized, cost-effective, and rapid production scheme for cancer vaccine and point-of-care relapse surveillance.
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                                    <div class="">
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                First, a bioinformatic pipeline integrating state-of-the-art tools identifies our targets: melanoma neoantigens, the fingerprints of cancer cells. Next, cell-free protein expression rapidly synthesizes a library of encapsulin protein nanocompartments
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                                        <h3 class="h5">Vaccine</h3>
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                presenting the various neoantigen epitopes. This encapsulin vaccine activates dendritic cells which trigger a T-cell attack on the neoantigen-bearing cancer cells. Nevertheless, we don’t underestimate a defeated villain! To detect potential
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                                        <p>Expression of the neoantigens and the adjuvant using encapsulin</p>
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                relapse, we combine techniques including dumbbell probes, rolling circle amplification, isothermal amplification, and CRISPR-Cas12a to detect circulating tumor miRNA and DNA. Ultimately, CAPOEIRA trains the immune system to fight back!
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                                        <h3 class="h5">Immune response</h3>
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                                        <p>Maturation of dendritic cells and T-cells</p>
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                                        <h3 class="h5">Follow up</h3>
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                                        <p>Detection of cancer relapse using liquid biopsies of ctDNA and cancer miRNA</p>
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            <a href="#abstract" class="tongue tongue-bottom scroll-me"><i class="fas fa-angle-down"></i></a>
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          <h3 class="heading h3"><font size="+5">This is CAPOEIRA</font></h2>
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            <img src="https://static.igem.org/mediawiki/2018/0/01/T--EPFL--bioinfo.svg" class="img-center img-fluid" width="300px">
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              <h2 class="text-center"><font size="+2">Bioinformatics</font></h2>
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              <p class="lead text-gray my-4 text-center">
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                <font size="+2">First, a bioinformatic pipeline integrating state-of-the-art tools identifies our target: melonoma neoantigens, the fingerprints of cancer cells</font>
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            <img src="https://static.igem.org/mediawiki/2018/b/b2/T--EPFL--vaccine-logo.svg" class="img-center img-fluid" width="300px">
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              <h2 class="text-center"><font size="+2">Vaccine</font></h2>
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              <p class="lead text-gray my-4 text-center">
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                <font size="+2">Next, cell-free protein expression rapidly synthesizes a library of encapsulin protein nanocompartments presenting the various neoantigen epitopes</font>
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            <img src="https://static.igem.org/mediawiki/2018/4/4a/T--EPFL--DCentier.svg" class="img-center img-fluid" width="300px">
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              <h2 class="text-center"><font size="+2">Dendritic cell Activation</font></h2>
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              <p class="lead text-gray my-4 text-center">
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                <font size="+2">This encapsulin vaccine activates dendritic cells which trigger a T-cell attack on the neoantigen bearing cancer cells</font>
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            <img src="https://static.igem.org/mediawiki/2018/3/3d/T--EPFL--follow_up_logo.svg" class="img-center img-fluid" width="300px">
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              <h2 class="text-center"> <font size="+2">Follow-up</font></h2>
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              <p class="lead text-gray my-4 text-center">
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                <font size="+2">Nevertheless, we don't underestimate a defeated villain! To detect potential relapse we use techniques like CRISPR-Cas12a to detect circulationg tumor miRNA and DNA</font>
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                          <h2 class="heading h1 text-white"> </br> </br> </br> Won: <span>Gold Medal</span></br> Nominated for: <span>Best Therapeutic Project</span> and <span>Best Software</br></ul></ui></h2>
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                          <div class="btn-container mt-5">
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                              <a href="https://2018.igem.org/Team:EPFL/Awards" class="btn btn-white btn-primary btn-circle px-5">Our Awards!</a>
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              <source src="https://static.igem.org/mediawiki/2018/7/77/T--EPFL--iGEM_2018_video.mp4" type="video/mp4" >
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Latest revision as of 00:21, 8 December 2018

iGEM EPFL 2018

CAPOEIRA

CAncer PersOnalized Encapsulin Immunotherapy and Relapse Assay

Learn more about our project

What is CAPOEIRA ?

While Melanoma remains the deadliest form of skin cancer, immunotherapy approaches can harness our immune system to defeat it! Yet, current immuno-treatments suffer from high costs, limited accessibility, and poor specificity. Our project “CAPOEIRA”, named after the Brazilian self-defense martial-art, exploits the potential of synthetic biology to develop a personalized, cost-effective, and rapid production scheme for cancer vaccine and point-of-care relapse surveillance. First, a bioinformatic pipeline integrating state-of-the-art tools identifies our targets: melanoma neoantigens, the fingerprints of cancer cells. Next, cell-free protein expression rapidly synthesizes a library of encapsulin protein nanocompartments presenting the various neoantigen epitopes. This encapsulin vaccine activates dendritic cells which trigger a T-cell attack on the neoantigen-bearing cancer cells. Nevertheless, we don’t underestimate a defeated villain! To detect potential relapse, we combine techniques including dumbbell probes, rolling circle amplification, isothermal amplification, and CRISPR-Cas12a to detect circulating tumor miRNA and DNA. Ultimately, CAPOEIRA trains the immune system to fight back!


This is CAPOEIRA

Bioinformatics

First, a bioinformatic pipeline integrating state-of-the-art tools identifies our target: melonoma neoantigens, the fingerprints of cancer cells


Vaccine

Next, cell-free protein expression rapidly synthesizes a library of encapsulin protein nanocompartments presenting the various neoantigen epitopes

Dendritic cell Activation

This encapsulin vaccine activates dendritic cells which trigger a T-cell attack on the neoantigen bearing cancer cells

Follow-up

Nevertheless, we don't underestimate a defeated villain! To detect potential relapse we use techniques like CRISPR-Cas12a to detect circulationg tumor miRNA and DNA




Won: Gold Medal
Nominated for: Best Therapeutic Project and Best Software

Our Awards!